Role: Python ML Engineer

Responsibility: -

Core Engineering & MLOps Skills

- Building and managing end-to-end ML workflows, including data preparation, feature engineering, training, evaluation, deployment, and monitoring.
- Designing and maintaining robust ETL/ELT pipelines in Python for telecom and security data.
- Implementing distributed data processing using Spark/PySpark.
- Developing ingestion, normalization, enrichment, and data quality validation frameworks.
- Working with Hadoop ecosystems (HDFS, YARN, Hive).
- Deploying and operating batch and near real-time inference pipelines.
- Hands-on experience with ClickHouse schema design, query optimization, and performance tuning.
- Robust debugging, incident management, and reliability engineering skills.





AI Tools &AI-Assisted; Engineering Skills

- Practical experience with AI-powered development tools such as GitHub Copilot, Claude, or ChatGPT.
- Knowledge of prompt engineering, AI-assisted code development, testing, code reviews, and technical documentation.
- Exposure to AI agents, MCP, RAG, or automated engineering workflows is an added advantage.

Experience: 6– 7 Years (Python+ AI/ML)

Educational Qualification

- Bachelor’s or Master’s degree in engineering, Computer Science, Electronics, Telecommunications, or related field.

Location: Bangalore

📌 Python ML Engineer (Bengaluru)
🏢 Mobileum
📍 Bengaluru